Authors: R. Kant, M.D. Singh
Addresses: Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211 004, India. ' Department of Mechanical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211 004, India.
Abstract: The purpose of this paper is to present an approach to Knowledge Management (KM) implementation in organisations by understanding the dynamics between the various Knowledge Management Variables (KMVs). Using Interpretive Structural Modelling (ISM), the research presents a hierarchy-based model and the mutual relationships among the KMVs. The research shows that there is a group of KMVs that have a high driving power and low dependence power that require maximum attention and are of strategic importance, while another group consists of those KMVs which have a high dependence power and low driving power. A key finding of this research is that leadership is the main driver for KM implementation.
Keywords: driving power; dependence power; interpretive structural modelling; ISM; innovation; knowledge management implementation; knowledge management variables; KMVs; learning.
International Journal of Innovation and Learning, 2009 Vol.6 No.3, pp.342 - 361
Available online: 17 Feb 2009Full-text access for editors Access for subscribers Purchase this article Comment on this article